Antenatal Mental Health and Retinal Vascular Caliber in Pregnant Women
Bibliographic record
Abstract
Purpose : : Depression, anxiety, and poor sleep are associated with increased risks of cardiovascular diseases. Previous studies have demonstrated the relationship between negative emotion and retinal microvascular changes among adults, yet no study has been done in pregnant women so far. This study aims to examine the association of antenatal mental health and retinal vascular caliber among Asian pregnant women. Methods : : Nine hundred and fifty two Asian pregnant women aged 18 to 46 years were included in this study, who were recruited from two Singapore cohort studies, the Growing Up in Singapore Towards Healthy Outcomes (GUSTO) study and the In Vitro Fertilization (IVF) study conducted from 2009 onwards. A total of 835 Asian pregnant women underwent retinal photography at 26 weeks follow up, of whom 800 had gradable photographs. Symptoms of depression, anxiety, and sleep quality were assessed with self-administered questionnaires. Results : : In multiple linear regression models adjusted for age, ethnicity, household income, pregnancy outcome history, means of conception, hypertension history, diabetes history, cigarette smoking history, mean arterial blood pressure, body mass index, and spherical equivalent, each standard deviation (SD) increase in the Edinburgh Postnatal Depression Scale (EPDS) (4.49 scores) and in the Pittsburgh Sleep Quality Index (PSQI) (2.90 scores) was associated with a 0.80 μm (P = 0.03) and a 1.22 μm (P = 0.01) widening in retinal arteriolar caliber, respectively. Conclusions : : Our study demonstrates relationships of antenatal depressive symptoms and poor sleep quality with retinal arteriolar widening in pregnant women. Translational Relevance : : We speculate that this might possibly indicate an effect of antenatal depression and poor sleep on the microcirculation during pregnancy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".